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Build a clear ROI case for business improvement.
Insights
Use an efficiency-first model to test how AI support can reduce manual effort while still accounting for implementation and maintenance cost.
AI efficiency projects are easiest to justify when they are tied to a narrow operational task instead of a vague promise of transformation. Reporting, ticket drafting, documentation, and process coordination are usually better entry points than broad strategic claims.
This page uses the reporting preset as a practical starting point. You can adapt it to other repeatable workflows by changing weekly effort, monthly losses, and expected improvement while preserving the same ROI structure.
That helps keep the model credible when the audience is skeptical of inflated AI claims.
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Global settings
Adjust the assumptions that drive annual conversions, defaults, and the way you read the calculator.
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Start with a practical preset or a blank custom use case.
Use cases
Add a preset to start modelling ROI, payback, and ongoing costs.
FAQ
Start with the weekly effort AI could reduce, then add monthly error cost or opportunity value only where the business effect is visible and credible.
No. Implementation time, change management, and ongoing maintenance can delay or reduce the early return, which is why first-year ROI matters.
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